A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1Bayesian Disease Mapping Beyond Aggregated Counts: A BYM2 Framework for Individual-Level Inference2026
2. 2Bayesian hierarchical spatial models for disease mapping in the presence of missing covariates2026
3. 3Non-stationary Bayesian spatial model for disease mapping based on sub-regions2024
4. 4Modeling multivariate lattice data with Dirichlet process mixture spatial random effects2026
5. 5Bayesian spatial functional data clustering: applications in disease surveillance2024